Showing 1 - 8 of 8
We characterize asset return linkages during periods of stress by an extremal dependence measure. Contrary to correlation analysis, this nonparametric measure is not predisposed toward the normal distribution and can allow for nonlinear relationships. Our estimates for the G-5 countries suggest...
Persistent link: https://www.econbiz.de/10010324996
Most stock exchange regulators around the world reacted to the 2007-2009 crisis byimposing bans or regulatory constraints on short-selling. Short-selling restrictions wereimposed and lifted at different dates in different countries, often applied to different sets ofstocks and featured different...
Persistent link: https://www.econbiz.de/10010325910
of volatility risk in stock and index returns, where we characterize volatility risk by the extent to which forecasting …
Persistent link: https://www.econbiz.de/10010326350
Many economic studies on inflation forecasting have found favorable results when inflation is modeled as a stationary … process around a slowly time-varying trend. In contrast, the existing studies on interest rate forecasting either treat yields … the problem of forecasting the term structure of interest rates with the assumption that the yield curve is driven by …
Persistent link: https://www.econbiz.de/10010326362
-of-sample forecasting performance. Differences across countries are seemingly linked to market liquidity. The paper further finds that the …
Persistent link: https://www.econbiz.de/10011604737
With the aim of constructing predictive distributions for daily returns, we introduce a new Markov normal mixture model in which the components are themselves normal mixtures. We derive the restrictions on the autocovariances and linear representation of integer powers of the time series in...
Persistent link: https://www.econbiz.de/10011604877
Bayesian inference in a time series model provides exact, out-of-sample predictive distributions that fully and coherently incorporate parameter uncertainty. This study compares and evaluates Bayesian predictive distributions from alternative models, using as an illustration five alternative...
Persistent link: https://www.econbiz.de/10011605015
A prediction model is any statement of a probability distribution for an outcome not yet observed. This study considers the properties of weighted linear combinations of n prediction models, or linear pools, evaluated using the conventional log predictive scoring rule. The log score is a concave...
Persistent link: https://www.econbiz.de/10011605063